Triple
T5381942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chen |
E113104
|
entity |
| Predicate | correspondsToChineseCharacter |
P63661
|
FINISHED |
| Object | 陈 |
E87685
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 陈 | Statement: [Chen, correspondsToChineseCharacter, 陈]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 陈 Context triple: [Chen, correspondsToChineseCharacter, 陈]
-
A.
陳
chosen
陳 is a common Chinese surname and character with historical roots, widely used across Chinese-speaking communities and often romanized as "Chan," "Chen," or similar variants.
-
B.
Zhong Wen
Zhong Wen is the tough, determined police officer portrayed by Jackie Chan in the action film "Police Story 2013."
-
C.
苏
苏 is the standard Chinese abbreviation used to refer to Jiangsu Province in eastern China.
-
D.
Zhu Chen
Zhu Chen is a Chinese-born Qatari chess grandmaster and former Women's World Chess Champion.
-
E.
Zhu Changxun
Zhu Changxun was a Ming dynasty prince and the father of the Hongguang Emperor, whose death at the hands of rebel forces became a notable episode in the dynasty’s final years.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd91ac1bf08190a9a575c9822de6cc |
completed | March 20, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf335661c8819091058a5275b95284 |
completed | March 22, 2026, 12:09 a.m. |
Created at: March 20, 2026, 2:03 p.m.